Data-Driven Location Intelligence for Optimising EV Charging Deployment in Arteixo

Cities and electric vehicle (EV) charging providers face major challenges in planning infrastructure that effectively matches actual mobility demand. Planning decisions are frequently based on limited data, leading to underutilised infrastructure and slow electric mobility adoption. Inspired by the urgent need to support the transition to clean urban mobility under the EU Green Deal, the InCharge Arteixo project addresses this bottleneck through an innovative, data-driven approach. The main objective of the project is to develop and validate a software-as-a-service (SaaS) decision-support platform designed to optimise the location, configuration and a deployment sequence of smart EV charging points. To tackle the problem, the platform integrates multiple big data sources (including data on the mobile network, the public transport network and its use, land use and electricity grid capacity) to generate high-resolution indicators on traffic patterns (routes, dwell times), accessibility, and grid proximity and capacity. Advanced optimisation algorithms process these indicators to identify locations and configurations that maximise demand coverage. This enables city planners to identify optimal priority sites for municipal fleets, public transport, logistics operators and private vehicles, while respecting grid and operational constraints.

The project is led by Nommon Solutions and Technologies, a small company specialising in mobility analytics that works in close collaboration with local stakeholders and city planners from the municipality of Arteixo (Spain). The initiative is scheduled to take place over six months, starting on 1 July 2026 and concluding on 31 December 2026. Ultimately, the project delivers an evidence-based blueprint to accelerate fleet electrification, reduce urban emissions, and optimise public and private infrastructure investments.